DocumentCode
3641747
Title
An alternative method for cell counting
Author
Akın Özkan;S. Belgin İşgör;Hakan Tora;Pembegül Uyar;Mesude İşcan
Author_Institution
Elektrik ve Elektronik, Mü
fYear
2011
fDate
4/1/2011 12:00:00 AM
Firstpage
1048
Lastpage
1051
Abstract
Cell counts and classification of the cells play an important role in the field of microbiology and cell biology. Although there exists many counting processes for cells of interest in suspension, the most basic cell counting process is performed by a person via the microscope. For counting cells the simplest, widely used and the most economic method is the use of hemocytometer counting. In this study, the hemocytometer counting was used but the the cells were counted by a proposed image based approach. The developed technique herein uses neural network along with the Hough transform.
Keywords
"Signal processing","Conferences","Artificial neural networks","Biomedical imaging","Economics","Digital images","Companies"
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
ISSN
2165-0608
Print_ISBN
978-1-4577-0462-8
Type
conf
DOI
10.1109/SIU.2011.5929834
Filename
5929834
Link To Document